Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen health care settings
These results underscore the value of combining deep learning with chemical and spectral information to build generalizable, high-impact clinical artificial intelligence.
Authors
- Paul P. Meyer (ORCID: https://orcid.org/0000-0002-6895-1916)
- Diane Duroux (ORCID: https://orcid.org/0000-0002-8564-3157)
- Niko Beerenwinkel (ORCID: https://orcid.org/0000-0002-0573-6119)
- Giovanni Visoná
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- ETH Zurich (CH)
- Quantitative BioSciences (US)
- Max Planck Institute for Intelligent Systems (DE)
Publication Details
- Journal
- GigaScience
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1093/gigascience/giaf156
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.52